UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDB06007


Registration ID:
221438

Page Number

44-50

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Title

Big Data Approach for Epidemiology and Prevention of HIV/AIDS

Abstract

Nowadays, the disease is spreading and becoming noxious to the society inattentive of hospitalization that is present. Toxic diseases are the disorder by organisms, such as bacteria, viruses, fungi, or parasites, which happened in a normal body. Some toxic syndromes pass from one individual to another individual, some are transferred due to animal’s bite or insects, and others may happen by consuming contaminated water or food or by getting exposed to the organisms which are present in the environment. AIDS becomes a rapidly spreading and turning the life to death disease. HIV spreads from one individual to another individual in the population, in many different ways that may be due to semen and blood. The study of disease is called pathology, which includes the study of cause. This research work mainly focuses on the prediction of disease like HIV/AIDS using supervised learning system.

Key Words

Machine Learning, HIV, Supervised Learning, Unsupervised Learning, Classification, Data Mining.

Cite This Article

"Big Data Approach for Epidemiology and Prevention of HIV/AIDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.44-50, June 2019, Available :http://www.jetir.org/papers/JETIRDB06007.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Big Data Approach for Epidemiology and Prevention of HIV/AIDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp44-50, June 2019, Available at : http://www.jetir.org/papers/JETIRDB06007.pdf

Publication Details

Published Paper ID: JETIRDB06007
Registration ID: 221438
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 44-50
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


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